通信基站风光互补供电系统设计与应用

风光互补供电系统是利用风能和太阳能资源的互补性,具有较高性价比的一种新型能源发电系统。本文通过对某一偏远山区通信基站环境资源进行分析,提出可靠、实用的通信基站风光互补供电系统设计方案并得到实施。     

基于WiMax的通信基站太阳能供电监控系统研究

电力供应的不稳定性给边远地区通信基站的运行提出了极大的挑战。为了加强基站电源系统的管理,降低运行成本,提高系统的可靠性,利用全球微波互联接入(WiMax)技术构建了远程移动基站电源监控系统。该系统的监控主体为移动基站的光伏发电系统,利用无线传感网络进行系统运行参数的采集,以WiMax网络为基础实现信号的远程传输,从而实现通信基站的在线监控功能。     

风光水多能互补发电系统日内时间尺度运行特性分析

多种能源互补发电协调运行逐步成为未来电力系统的发展方向,对其互补特性进行准确分析也显得尤为重要。结合多能互补发电系统的运行特点,利用互补系数将分系统评价与联合发电系统评价相结合,构建了适用于评价风光水互补特性的指标框架。基于该指标框架,以中国西部某省的风电场、光伏电站和水力发电站为例,对风光水互补发电运行特性进行了分析。结果表明,风光水互补发电系统的有功功率输出特性可以对系统负荷保持良好的跟踪,在日内时间尺度存在较强的互补性。     

基于物联网的风光互补发电监测系统

风光互补发电系统是利用可再生能源风能和太阳能进行发电的系统,具有较高的性价比。相较于传统的化石能源具有清洁无污染,可持续利用的特点。针对风光互补发电形式,提出了基于物联网技术的远程监控系统,重点介绍了系统的硬件设计、软件设计和客户端软件的实现。该系统应用于风光互补发电系统中,可实现对风光互补发电过程的各种数据的实时监测和远程控制。     

风光储联合发电监控系统功能设计与应用

介绍了风光储联合发电监控系统的总体建设方案,以及该系统的关键技术和主要功能,阐释了其信息采集与可视化展示方案、多能互补自动发电控制方案和多源协同自动电压控制方案。该研究成果已应用于国家风光储输示范工程。     

基于CO_2排放量的风光互补发电系统容量优化配置

风光互补发电系统的容量配置关系到系统的成本和减排效益等。按照系统全生命周期考虑,分别建立了风力发电机、光伏电池板和蓄电池组在各个阶段CO_2排放量的计算模型,给出了风光互补发电系统CO_2排放量的计算公式;在系统成本、功率输出波动性、互补优越性和备用容量等约束条件下,以CO_2排放量最少为优化目标,对风光互补发电系统的容量进行优化配置;最后,以某地区风光互补发电系统为例对其容量进行配置,结果验证了该方案的可行性。     

偏远农村风光互补路灯控制系统设计

介绍了风光互补路灯控制系统的设计,并对系统中光伏发电MPPT控制、风力发电控制和蓄电池充放电管理部分的工作原理与特性做出了详细的分析与探讨,确定了风光互补路灯控制系统总体方案。     

基于多能互补发电的日前优化运行评价方法

多能互补发电运行已成为提高新能源利用效益的新方向,对多能互补式发电特性的分析也显得尤为重要.根据多能互补发电系统的运行特点,结合互补发电评价指标与联合发电效益,建立了评价互补特性的微电网运行指标体系.基于该指标体系,从可靠性、稳定性、经济性三方面对风光水储互补发电系统进行分析.结果表明,风光水储互补式运行系统能实现风、...     

小型风光互补MPPT控制的研究

为提高小型风光互补发电系统的效率,增强系统的稳定性,使发电系统的性能得到优化,将最大功率点跟踪(MPPT)控制策略应用到小型风光互补发电系统中,此控制策略可以跟踪蓄电池的最大充电功率,最大程度地利用风能和太阳能,并对蓄电池充电控制方案分段优化,对蓄电池快速合理充电,实现小型风光互补发电系统的智能化控制.     

农村微电网风光储多时间尺度互补供电技术研究

对农村微电网中风光储互补供电技术进行了针对性研究,提出了一种风光储多时间尺度互补供电技术,利用储能系统和风光发电系统在时间尺度上的差异和互补特性,充分发挥储能系统的快速功率吞吐能力和灵活充放电特性,与分布式风光发电的备用功率调节特性协调互补,进而提高农村微电网供电系统的供电可靠性和安全性。基于PSCAD/EMTDC电磁暂态仿真平台建立风光储互补微电网电磁暂态仿真模型,在农村微电网并/离网切换过程中对储能系统的快速功率支撑以及风光储的多时间尺度供电技术进行了仿真分析,结果表明风光储多时间尺度互补供电技术运行稳定,解决了农村地区供电可靠性低及电能质量差等难题。     

风光互补技术及应用新进展

简要回顾国内外风电、光伏技术与应用发展态势,结合风光互补系统应用,分析、介绍了风光互补LED路灯照明系统、智能控制器设计、分布式供电电源、风光互补水泵系统,并着重分析生物质能、风能和太阳能互补分布式能源梯级系统原理,涉及的技术关键等。研究表明,风能、光伏发电应用需要实现低成本、规模化,风光互补技术应用前景广阔。     

风光互补混合供电系统多目标优化设计

相比光伏或者风能独立供电系统,光伏电池与风能互补混合供电系统更为经济、可靠,能很好地适应环境的变化.提出一种基于改进微分进化算法的风光互补混合供电系统容量优化配置模型,在满足独立供电系统基本性能指标的前提下,构造出以系统投资成本、运行成本、维持系统供电可靠性等综合成本最小为目标的目标函数.该算法能够根据种群中个体分布情况,采用控制参数自适应调整策略,并利用解群转换操作提高全局寻优能力.算例分析表明,该算法能快速、有效求解混合系统的最优容量配置.     

Cost reduction of a hybrid energy storagesystem considering correlation betweenwind and PV power

A hybrid energy storage system (HESS) plays an important role in balancing the cost with the performance in terms of stabilizing the fluctuant power of wind farms and photovoltaic (PV) stations. To further bring down the cost and actually implement the dispatchability of wind/PV plants, there is a need to penetrate into the major factors that contribute to the cost of the any HESS. This paper first discusses hybrid energy storage systems, as well as chemical properties in different medium, deeming the ramp rate as one of the determinants that must be observed in the cost calculation. Then, a mathematical tool, Copula, is explained in details for the purpose of unscrambling the dependences between the power of wind and PV plants. To lower the cost, the basic rule for allocation of buffered power is also put forward, with the minimum energy capacities of the battery ESS(BESS) and the supercapacitor ESS(SC-ESS) simultaneously determined by integration. And the paper introduces the probability method to analyze how power and energy is compensated in certain confidence level. After that, two definitions of coefficients are set up, separately describing energy storage status and wind curtailment level. Finally, the paper gives a numerical example stemmed from real data acquired in wind farms and PV stations in Belgium. The conclusion presents that the cost of a hybrid energy storage system is greatly affected by ramp-rate and dependence between the power of wind farms and photovoltaic stations, in which dependence can easily be determined by Copulas.     

基于petri网分布式发电系统的能量协调控制

针对风能、太阳能等可再生能源不稳定、不连续问题,基于Multi-Agent和层次有色petri网技术,提出分布式发电系统的能量管理协调控制方案。首先将系统内的各设备处理成相对独立的Agent,通过Agent之间的通信进行能量协调控制;应用层次有色petri网描述分布式发电系统的离散性和动态性;根据电能质量综合指标决定发电设备的供电次序,使发电设备输出较高质量的电能;基于CPN Tools平台建立了分布式发电能量管理系统模型。仿真结果表明,所提方案可实现系统发电设备按电能质量综合指标值逐减的顺序对负载进行供电,实时控制蓄电池的充放电,实现系统安全稳定运行。     

Comparative evaluation of different power management strategies of a stand-alone PV/Wind/PEMFC hybrid power system

This study presents different power management strategies of a stand-alone hybrid power system. The system consists of three power generation systems, photovoltaic (PV) panels, a wind turbine and a proton exchange membrane fuel cell (PEMFC). PV and wind turbine is the main supply for the system, and the fuel cell performs as a backup power source. Therefore, continuous energy supply needs energy storing devices. In this proposed hybrid system, gel batteries are used. The state of charge (SOC), charge-discharge currents are affecting the battery energy efficiency. In this study, the battery energy efficiency is evaluated with three different power management strategies. The control algorithm is using Matlab-Simulink®.     

虚拟同步风电场协同光伏电站附加阻尼控制方法

迅速增长的新能源并网容量可能会导致电力系统的低频振荡现象,以风电和光伏为主的新能源机组应具备抑制低频振荡的能力.以含风电场和光伏电站的系统为研究对象,阐明双馈风机(doubly fed induction generator,DFIG)虚拟同步控制和附加阻尼控制增加系统阻尼的原理,以DFIG并网点处有功功率变化量为输入...     

独立型风光互补系统中储能容量优化研究

以独立运行的风光互补发电系统中储能容量最优化为目标,利用风电、光伏以及负荷的发用电预测数据,提出考虑超级电容器和蓄电池内部特性的负荷缺电率LPSP的简化计算方法,并同时考虑负荷最大缺电率和负荷最大瞬时功率缺失两方面来综合确定超级电容器/蓄电池混合储能装置容量的大小.进行了优化软件的编制和算例分析,结果表明,考虑储能系统功率输出能力可以提高储能系统容量优化配置的准确性,而在同时达到满足负荷最大缺电率和负荷最大瞬时功率缺失要求下,混合储能比超级电容器、蓄电池单独储能更加经济.     

Cost reduction of a hybrid energy storage system considering correlation between wind and PV power

A hybrid energy storage system (HESS) plays an important role in balancing the cost with the performance in terms of stabilizing the fluctuant power of wind farms and photovoltaic (PV) stations. This paper first discusses hybrid energy storage systems, as well as chemical properties in different medium, deeming the ramp rate as one of the determinants that must be observed in the cost calculation. Then, a mathematical tool, Copula, is explained in details for the purpose of unscrambling the dependences between the power of wind and PV plants. To lower the cost, the basic rule for allocation of buffered power is also put forward, with the minimum energy capacities of the battery ESS(BESS) and the supercapacitor ESS(SC-ESS) simultaneously determined by integration. And the paper introduces the probability method to analyze how power and energy is compensated in certain confidence level. After that, two definitions of coefficients are set up, separately describing energy storage status and wind curtailment level. Finally, the paper gives a numerical example stemmed from real data acquired in wind farms and PV stations in Belgium. The conclusion presents the fact that the cost of a HESS varies not only with the ramp rate of its BESS, but also inevitably with the dependences between the power of wind and PV plants, which means both are indispensable considerations.     

大规模风光接入下梯级水电站调度方式研究

风光接入流域梯级水电系统联合打捆外送是解决新能源消纳难题的有效途径,但也使得传统面向单一水电系统的调度方式面临极大挑战。为此,本文系统研究大规模风光接入背景下梯级水电站在长期、日前和实时尺度上的调度方式,并以雅砻江流域锦官梯级多能互补调度为实例,系统评估互补调度效益和风险。结果表明：大规模风光接入背景下,大型水电站水库的中长期水位应提前并加深消落,以增加枯期发电量并减少汛期弃水;互补运行能提升系统调峰能力,且调节水电日出力过程可缓解外送通道竞争;充分发挥梯级水电站的联合调度作用,能分别在日前和实时尺度上对风光功率进行电力补偿调节,弥补风光预测不确定性导致的发电偏差,提高供电可靠性。